I conduct theoretical and applied research in the fields of graph theory, modelling and analysis of dynamic networks, control theory and causal inference. My work lies at the intersection of three disciplines: computer science, mathematical statistics and applied physics. It finds applications in fields such as systems biology, medicine, biochemistry, pharmacology, population dynamics and climate physics. I develop mathematical theories and models to describe the static and dynamic properties of complex systems in terms of their size, non-linearity and stiffness. I develop algorithms to simulate the temporal evolution of these systems and their responses to perturbations. I focuses on artificial neural networks (ANN) and Bayesian ANNsimulation frameworks.